Mathematics
Grade 10
15 min
Identify representative, random, and biased samples
Identify representative, random, and biased samples
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1
Introduction & Learning Objectives
Learning Objectives
Define population, sample, representative sample, random sample, and biased sample.
Differentiate between a population and a sample in a given context.
Explain the characteristics of a representative sample and why it is desirable.
Identify the key features of a simple random sampling method.
Analyze a sampling method to determine if it is biased or unbiased.
Evaluate real-world scenarios to classify samples as representative, random, or biased.
Explain how a biased sample can lead to invalid conclusions about a population.
Ever wonder how a poll of just 1,000 people can predict a national election? 🤔 It all comes down to *who* they ask and *how* they ask them!
This lesson will teach you how to analyze data collection methods. You'll learn to dis...
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Key Concepts & Vocabulary
TermDefinitionExample
PopulationThe entire group of individuals, objects, or events that a researcher is interested in studying.All Grade 10 students in a specific country.
SampleA smaller, manageable subset of a larger population selected for study.500 Grade 10 students chosen from various schools across that country.
Representative SampleA sample whose characteristics accurately reflect the characteristics of the entire population from which it was drawn.A sample of a city's residents that has the same age, gender, and income distribution as the entire city's population.
Random SampleA sample in which every member of the population has an equal and independent chance of being selected. This is a primary method for achieving a representative sample.Assigning a number to every s...
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Core Formulas
The Principle of Equal Probability (for Simple Random Samples)
For a population of size N and a desired sample of size n, the probability (P) of any individual member being selected is P(selection) = n / N.
In a simple random sample, every individual must have this same probability of being chosen. If the probability is not equal for all members, the sample is not truly random and is likely biased.
The Proportionality Test (for Representative Samples)
Let a subgroup S be a proportion p_S of the population N. A representative sample n should have a subgroup s that is approximately the same proportion: s/n ≈ S/N.
Use this to check if a sample is representative. If a population is 60% female, a representative sample of 100 people should contain approximately 60 females. Signifi...
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Challenging
A news website reports, 'Based on a poll of 20,000 of our readers, 90% support a new environmental law.' An analyst critiques this, stating the conclusion is likely invalid. What is the strongest synthesis of the statistical flaws?
A.The sample size is too small for a national issue.
B.The poll question was likely worded in a confusing way.
C.The sample is large, which makes it representative and the conclusion valid.
D.The sample is large but biased due to self-selection and being drawn from a non-representative population (the website's specific readership).
Challenging
A company claims its new battery lasts 'over 24 hours' based on a test of 100 batteries selected from the end of the production line on a Friday. Why should a consumer be skeptical of this claim?
A.The claim is likely invalid because the sample is not random and may not represent typical production quality.
B.The sample size of 100 is too small to make any claims.
C.The test should have been performed by an independent lab.
D.The claim is likely valid because 100 batteries is a large enough sample.
Challenging
A school board wants to survey parents about a new uniform policy. The school has a diverse population. Which of the following sampling methods is MOST likely to produce a representative sample?
A.Setting up a table at the entrance to a single parent-teacher conference and surveying attendees.
B.Posting an anonymous survey link on the school's social media page.
C.Obtaining a list of all enrolled students, randomly selecting 200 of them, and then contacting their parents.
D.Surveying all parents who are part of the Parent-Teacher Association (PTA).
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